plot.component.selection: Plot the results of the testing procedure to determine the...

In bootsPLS: Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification

Description

Plot the results of the testing procedure to determine the number of component to select

Usage

## S3 method for class 'component.selection'
plot(x,pch,col,type,lty,...)

Arguments

x	Object of class "component.selection".
pch	See par for details.
col	See par for details.
type	See par for details.
lty	See par for details.
...	not used

Details

This function plots the p-value of the one sided t-test with respect to the number of components. See component.selection and the reference below for more details on the multiple testing procedure

References

Rohart et al. (2016). A Molecular Classification of Human Mesenchymal Stromal Cells. PeerJ, DOI 10.7717/peerj.1845

See Also

bootsPLS, component.selection

Examples

## Not run: 
data(MSC)
X=MSC$X
Y=MSC$Y


boot=bootsPLS(X=X,Y=Y,ncomp=3,many=5,kCV=5)
comp=component.selection(boot)

plot(comp)


## End(Not run)

bootsPLS documentation built on May 2, 2019, 2:44 a.m.